Update app.py

app.py

@@ -76,6 +76,20 @@ if st.button("開始搜索"):
     if not pchome_data.empty:
         st.write("PCHOME 商品數據:", pchome_data)
 
+    # Combine MOMO and PCHOME data
+    combined_df = pd.concat([momo_df, pchome_data])
+
+    # Sort the combined data by price
+    sorted_combined_df = combined_df.sort_values(by='price', ascending=True)
+    
+    # Display sorted data
+    if not sorted_combined_df.empty:
+        st.write("所有商品的價格 (從低到高排序):", sorted_combined_df)
+
+    # Add a button to download the data as CSV
+    csv = sorted_combined_df.to_csv(index=False)
+    st.download_button(label="下載 CSV 檔案", data=csv, file_name=f'{search_keyword}_price_data.csv', mime='text/csv')
+
     # Google Trends Analysis
     pytrend = TrendReq(hl="zh-TW", tz=-480)
     time_range = f'{start_date} {end_date}'
@@ -131,7 +145,6 @@ if st.button("開始搜索"):
 
     # Pie Chart based on prices
     if not momo_df.empty or not pchome_data.empty:
-        combined_df = pd.concat([momo_df, pchome_data])
         pie_fig = go.Figure(go.Pie(
             labels=combined_df['title'],
             values=combined_df['price'],